Evidence map›Paper›PMID 29208253›Full record

ArticleThe American journal of the medical sciences2017

Socioeconomic, Psychosocial and Behavioral Characteristics of Patients Hospitalized With Cardiovascular Disease.

Matthew E Dupre, Alicia Nelson, Scott M Lynch, Bradi B Granger, Hanzhang Xu, Erik Churchill, Janese M Willis, Lesley H Curtis, Eric D Peterson

Abstract read
In one paragraph

Article in The American journal of the medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Matthew E DupreDuke Clinical Research Institute, Duke University, Durham, North Carolina; Department of Population Health Sciences, Duke University, Durham, North Carolina; Department of Sociology, Duke University, Durham, North Carolina. Electronic address: matthew.dupre@duke.edu.
Alicia NelsonDepartment of Community and Family Medicine, Duke University, Durham, North Carolina.
Scott M LynchDepartment of Sociology, Duke University, Durham, North Carolina.
Bradi B GrangerDuke School of Nursing, Duke University Medical Center, Durham, North Carolina.
Hanzhang XuDuke School of Nursing, Duke University Medical Center, Durham, North Carolina.
Erik ChurchillDuke Office of Clinical Research, Duke University Medical Center, Durham, North Carolina.
Janese M WillisDepartment of Community and Family Medicine, Duke University, Durham, North Carolina.
Lesley H CurtisDuke Clinical Research Institute, Duke University, Durham, North Carolina; Department of Population Health Sciences, Duke University, Durham, North Carolina.
Eric D PetersonDuke Clinical Research Institute, Duke University, Durham, North Carolina; Department of Medicine, Duke University, Durham, North Carolina.

Funding

Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI Tyson Brown · 2009 to 2026
$12.2M
An Innovative Model to Predict Readmissions in Adults with Cardiovascular DiseaseK01HL114750 · NHLBI · DUKE UNIVERSITY · PI DUPRE, MATTHEW E. · 2013 to 2017
$590k
NCATS NIH HHS UL1 TR001117NHLBI NIH HHS K01 HL114750NIA NIH HHS P30 AG034424
6 · The paper itself

Abstract

backgroundRecent studies have drawn attention to nonclinical factors to better understand disparities in the development, treatment and prognosis of patients with cardiovascular disease. However, there has been limited research describing the nonclinical characteristics of patients hospitalized for cardiovascular care.

methodsData for this study come from 520 patients admitted to the Duke Heart Center from January 1, 2015 through January 10, 2017. Electronic medical records and a standardized survey administered before discharge were used to ascertain detailed information on patients' demographic (age, sex, race, marital status and living arrangement), socioeconomic (education, employment and health insurance), psychosocial (health literacy, health self-efficacy, social support, stress and depressive symptoms) and behavioral (smoking, drinking and medication adherence) attributes.

resultsStudy participants were of a median age of 65 years, predominantly male (61.4%), non-Hispanic white (67.1%), hospitalized for 5.11 days and comparable to all patients admitted during this period. Results from the survey showed significant heterogeneity among patients in their demographic, socioeconomic and behavioral characteristics. We also found that the patients' levels of psychosocial risks and resources were significantly associated with many of these nonclinical characteristics. Patients who were older, women, nonwhite and unmarried had generally lower levels of health literacy, self-efficacy and social support, and higher levels of stress and depressive symptoms than their counterparts.

conclusionsPatients hospitalized with cardiovascular disease have diverse nonclinical profiles that have important implications for targeting interventions. A better understanding of these characteristics will enhance the personalized delivery of care and improve outcomes in vulnerable patient groups.

Indexed as

AgedAge FactorsCardiovascular DiseasesDepressionFemaleHealth LiteracyHospitalizationHumansMaleMarital StatusPsychologyRisk FactorsSelf EfficacySex FactorsSocial SupportSocioeconomic FactorsCardiovascular diseaseHospitalizationNonclinical factorsPsychosocial factorsSocioeconomic status

Identifiers

PMID29208253
PMCPMC5909379

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.